Extreme Case of Spectral Band Difference Correction Between the Osiris-Rex-Navcam2 Dscovr-Epic Imagers

B. Scarino, D. Doelling, C. Haney, R. Bhatt, A. Gopalan
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Abstract

Earth-viewed images acquired during a recent asteroid-intercept mission present a unique opportunity for radiometric calibration of visible imagers onboard a space exploration probe. Measurements from the CERES-consistent DSCOVR-EPIC imager act as a reference in providing spatially, temporally, and angularly matched radiance values for deriving OSIRIS-REx-NavCam sensor calibration gains. The calibration is accomplished using an optimized all-sky tropical ocean ray-matching technique, which employs complex pixel remapping, navigation correction, and angular geometry consideration. Of critical consideration in this specific inter-calibration event is the extreme difference in spectral response function (SRF) width between the NavCam and EPIC imagers, which could cause a rather large bias. The NASA-LaRC SCIAMACHY-based online spectral band adjustment factor (SBAF) calculation tool provides an empirical solution to such potential spectral-difference-induced biases through a high-spectral-resolution hyperspectral convolution approach. The adjustments produced from this tool can effectively reduce the calibration gain bias of NavCam2 by nearly 6%, thereby adjusting the NavCam2 sensor to within 3.2% of its pre-launch calibration. These results highlight the capability of the SBAF tool to account for exceptionally disparate SRFs.
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Osiris-Rex-Navcam2 Dscovr-Epic成像仪波段差校正的极端情况
在最近的一次小行星拦截任务中获得的地球观测图像为空间探测探测器上的可见光成像仪的辐射校准提供了一个独特的机会。来自与ceres一致的DSCOVR-EPIC成像仪的测量作为参考,提供空间、时间和角度匹配的辐射值,以获得OSIRIS-REx-NavCam传感器校准增益。校准使用优化的全天热带海洋射线匹配技术,该技术采用复杂的像素重新映射,导航校正和角度几何考虑。在这个特定的相互校准事件中,关键的考虑因素是NavCam和EPIC成像仪之间的光谱响应函数(SRF)宽度的极端差异,这可能会导致相当大的偏差。基于NASA-LaRC sciamachi的在线光谱波段调整因子(SBAF)计算工具通过高光谱分辨率的高光谱卷积方法,为这种潜在的光谱差异引起的偏差提供了经验解决方案。该工具产生的调整可以有效地将NavCam2的校准增益偏差降低近6%,从而将NavCam2传感器调整到发射前校准的3.2%以内。这些结果突出了SBAF工具在解释异常不同的srf方面的能力。
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